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Category: India

  • MP Rajya Sabha Election 2024: BJP will send George Kurien of Kerala to Rajya Sabha from MP

    (file photo)

    Highlights

    George Kurien has held many important positions in the BJP organization. Union Minister Ravneet Singh Bittu from Punjab was also being considered as an alternative. Voting and counting of votes for the Rajya Sabha elections will take place on September 3.

    State Bureau, Naiduniya, Bhopal. After the resignation of Union Minister Jyotiraditya Scindia, the BJP has declared George Kurien of Kerala as its candidate for the by-election to the vacant seat of Rajya Sabha member from Madhya Pradesh. He is a Union Minister.

    On Tuesday, a day before the last date of filing nomination papers for the elections on August 21, the party’s national general secretary Arun Singh announced Kurien’s name along with candidates from other states. Let us tell you that on the basis of the party’s position in the MP assembly, the BJP candidate is sure to be elected from this seat. This is the reason why Congress has not fielded anyone yet.

    By-election is being held due to this

    Let us tell you that after Jyotiraditya Scindia was elected as a Lok Sabha member from Guna, by-elections are being held for the remaining term of his Rajya Sabha seat. It is worth noting that Kurien will get a term till April 2026. He is the second leader from South India after L Murugan who has been sent to the Rajya Sabha from MP.

    Of the 11 Rajya Sabha seats from the state, except this seat, three are with Congress and seven with BJP. Among the BJP members, except L Murugan from Tamil Nadu, the rest are from Madhya Pradesh. It is worth mentioning that the names of many leaders of the state were also being considered for this seat. Voting and counting for this seat is to be held on September 3.

  • Raipur Police’s ‘Nijaat’ campaign: Rap song released for awareness against drug abuse, watch the video focused on the youth…

    Raipur. Raipur police is continuously taking action against illegal drugs. At the same time, a campaign ‘Nijat’ is also being run to make people aware. Under the campaign, the police is telling the youth about the ill effects of narcotics, drugs, alcohol, ganja, siloshan and syringes etc. Under this, the police has released a rap song.

    The rap song video shows the actions taken under Nijaat, the ill-effects of drug abuse and how a promising youth is led astray by consuming drugs in bad company. Let us tell you that a comprehensive awareness campaign is being run on a large scale under the ‘Nijaat’ campaign in the district. Along with this, youth, school children and citizens are being told about the ill-effects of drug abuse.

    Watch the video –

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  • AI Trading versus Traditional Trading: A Comprehensive Analysis |

    In the continuously evolving landscape of financial markets, the advent of artificial intelligence (AI) has profoundly impacted trading practices. Traditional trading methods, which have been the bedrock of financial markets for decades, are increasingly being challenged by AI-driven trading strategies.

    Traditional Trading: The Old Guard

    Traditional trading, often called discretionary or human trading, relies heavily on individual traders’ expertise, intuition, and judgment.

    Traditional traders leverage their experience, market knowledge, and psychological insights to make trading decisions. They analyze charts, economic indicators, and news to predict market movements, which can be accomplished with a forex trading app.

    Traditional trading often involves a combination of technical analysis—studying past price movements and patterns—and fundamental analysis, which focuses on evaluating the intrinsic value of an asset based on economic indicators, company performance, and market conditions.

    Trades in traditional trading are executed manually through brokers or trading platforms. This process can be time-consuming and subject to human error. Conventional trading is often associated with extended holding periods, where investors seek to benefit from extended market trends and fundamentals rather than short-term price movements.

    AI Trading

    AI trading represents a paradigm shift in the way financial markets operate. Leveraging advanced algorithms, machine learning, and vast data sets, AI trading systems are designed to execute trades with incredible speed, efficiency, and accuracy. Critical features of AI trading include:

    At its core, AI trading relies on sophisticated algorithms that can process massive amounts of data in real-time. These algorithms employ complex mathematical models to identify trading opportunities and execute trades automatically.

    AI trading systems use machine learning techniques to analyse historical data, recognise patterns, and predict future market movements. These systems can continually improve their performance by learning from new data.

    One of the most notable applications of AI trading is high-frequency trading, where algorithms execute thousands of trades per second to capitalise on minute price discrepancies. HFT firms leverage speed and computational power to gain an edge in the market.

    Unlike traditional trading, AI trading heavily relies on data. To make informed decisions, algorithms analyse data sources, from historical price movements and trading volumes to social media sentiment and news articles. This scenario enables AI systems to react swiftly to market changes that human traders might miss.

    Comparing the Advantages

    One of the most significant advantages of AI trading over traditional trading is its unparalleled speed and efficiency. AI systems can process and analyse vast amounts of data within milliseconds, enabling them to execute trades almost instantaneously. This gives AI trading a substantial edge in markets where even microsecond advantages can translate into significant financial gains. Traditional traders, on the other hand, are limited by human cognitive and physical speeds, making it challenging to compete with AI in terms of execution speed.

    Accuracy and Consistency

    AI trading systems are designed to follow predefined rules and criteria, ensuring high consistency in trading decisions. Unlike human traders, who can be influenced by emotions such as fear and greed, AI algorithms operate based on objective data and programmed logic. This minimizes the risk of impulsive decisions and increases the accuracy of trades. While potentially benefiting from human intuition and experience, traditional trading is often subject to emotional biases and inconsistencies.

    Ability to Handle Large Data Sets

    AI trading excels in processing and analysing large datasets, a task that is practically impossible for human traders to accomplish at the same speed and scale. By leveraging big data, AI systems can uncover hidden patterns and correlations that might be overlooked in traditional analysis. This ability to synthesise vast amounts of information enables AI trading to identify more complex trading opportunities and optimise strategies dynamically.

    Round-the-Clock Operation

    AI trading algorithms can operate 24/7 without breaking, enabling continuous monitoring and participation in global markets. This is particularly advantageous in a world where financial markets are increasingly interconnected and operate across different time zones. Constrained by human limitations, traditional traders cannot maintain constant vigilance and are thus disadvantaged regarding round-the-clock trading.

    Traditional Trading: The Human Element

    Human traders bring intuition, experience, and a qualitative understanding of market dynamics that AI systems lack. The ability to interpret nuanced information, such as the potential impact of geopolitical events or market sentiment shifts, is a distinct advantage of human traders. This can be particularly valuable when qualitative insights are critical in decision-making.

    Flexibility and Adaptability

    Traditional traders can adapt their strategies dynamically based on evolving market conditions. While AI systems can be programmed to adjust parameters based on specific criteria, human traders can perceive and respond to unprecedented events or anomalies more flexibly. This adaptability is especially crucial during market uncertainty or volatility periods, where rigid, pre-programmed responses might not suffice.

    AI Trading

    AI models might become too finely tuned to historical data, leading to overfitting. This can result in models that perform exceptionally well on past data but fail to generalize to new, unseen market conditions.

    Many AI algorithms, especially those involving deep learning, operate as “black boxes” where the decision-making process is not transparent. This lack of interpretability can make it difficult to trust and validate AI decisions, posing significant risks.

    AI trading systems are susceptible to technical failures, such as software bugs, hardware malfunctions, or cyber-attacks, which could result in substantial financial losses.

    Using AI in trading can raise regulatory and ethical questions, including market manipulation, fairness, and the potential for AI-induced flash crashes. Stringent regulations are needed to ensure the responsible use of AI in financial markets.

    Traditional Trading

    Human traders are prone to emotional biases, such as overconfidence, panic, and loss aversion, which can negatively impact decision-making and lead to inconsistent results.

    Human traders have limited capacity to process and analyze data, making it difficult to compete with AI systems that can handle vast datasets and complex computations.

    Manual execution of trades is inherently slower than automated execution, resulting in potential delays and missed opportunities in fast-moving markets.

    The Hybrid Approach

    As the financial landscape evolves, a hybrid approach that integrates the strengths of AI and traditional trading is increasingly seen as the optimal strategy. This approach leverages AI’s computational power and data-processing capabilities while retaining human traders’ qualitative insights and adaptability.

    Enhanced Decision-Making

    By combining human intuition with AI-driven data analysis, traders can make more informed and nuanced decisions. For example, human traders can use AI to sift through vast amounts of data to identify potential trading opportunities, which can be further scrutinized through human judgment. This synergistic approach enhances decision-making, resulting in more robust trading strategies.

    Continued Learning and Adaptation

    AI systems can continually learn from new data and adapt to changing market conditions, but they can also benefit from the oversight and strategic input of experienced traders. Human traders can fine-tune AI models and incorporate real-time qualitative insights that algorithms might not capture. This adaptive learning cycle between humans and machines can lead to more effective and resilient trading strategies.

    Further advancements in AI and technology will likely dominate the future of trading, but the role of human traders will remain indispensable.

    Quantum Computing

    Quantum computing has the potential to revolutionize AI trading by significantly enhancing computational power and data processing speeds. Quantum algorithms can solve complex optimization problems faster than classical computers, providing a substantial edge in markets where speed and efficiency are paramount.

    The Evolution of Regulatory Frameworks

    Regulatory frameworks must evolve as AI and other advanced technologies continue to reshape the trading landscape to address emerging challenges. Regulators worldwide are grappling with the implications of AI-driven trading, striving to ensure market integrity, fairness, and transparency.

    Striking a Balance

    Regulatory bodies must balance fostering innovation and protecting market participants from potential abuses and systemic risks. This involves creating guidelines that allow for the ethical use of AI while implementing robust monitoring and enforcement mechanisms to prevent market manipulation and unfair practices.

    Conclusion

    The comparison between AI and traditional trading reveals a dynamic interplay between innovative technology and human expertise. AI trading offers unparalleled speed, accuracy, and data processing capabilities, making it an indispensable tool in modern financial markets. However, the human element remains critical, providing intuition, adaptability, and relational skills that AI cannot fully replicate.

    A hybrid approach that leverages the strengths of both AI and traditional trading is emerging as the optimal strategy for navigating the complexities of today’s financial environment. As AI continues to advance and regulatory frameworks evolve, the future of trading will likely be characterised by greater collaboration between humans and machines, leading to more effective, transparent, and resilient financial markets.

    The integration of AI in trading is not merely a trend but a fundamental shift reshaping the landscape of global finance. By embracing this transformation thoughtfully and ethically, market participants can harness the full potential of AI while safeguarding the principles of integrity and fairness that underpin the financial industry.

     

     

    (This article is part of IndiaDotCom Pvt Ltd’s Consumer Connect Initiative, a paid publication programme. IDPL claims no editorial involvement and assumes no responsibility, liability or claims for any errors or omissions in the content of the article. The IDPL Editorial team is not responsible for this content.)

  • Morena News: Tonga pond was not connected after breaking, life in villages also became hell after the flood

    Pond water filled in the empty space in front of the houses

    Highlights

    There is still waterlogging in the fields and empty places, the roads of the villages have become swampy due to the rain, the administration is considering setting up medical camps

    Naiduniya representative, Morena-Sabalgarh. When the 140-year-old pond of Tonga Panchayat burst, lakhs of liters of water overflowed and entered half a dozen villages. Due to which flood-like conditions arose here. A week has passed since the pond burst, but the situation of waterlogging still persists in these villages.

    Due to this, many problems have started arising in the villagers and some parts of Sabalgarh city due to the flood. The roads have become marshy and water has collected in the empty places. Due to this, there is a danger of spreading diseases. The work regarding the relief and health services to be given after the flood has not started yet.

    It is noteworthy that a week ago on Monday evening, the old pond of Tonga suddenly burst. Due to which lakhs of liters of water poured out rapidly and reached the Gaud Colony of Sabalgarh and other areas including half a dozen villages. When the water came out of the pond rapidly, to divert it, the administration broke the wall of the canal near Budhpura and diverted the water.

    Due to which houses were saved from getting flooded, but Tonga, Badhpura, Ranipura, Devpur Mafi and other villages were flooded. In many areas, three to four feet of water filled up. Due to which flood like situation arose in the villages. After being diverted, the water slowly drained out, but could not drain out of the villages completely. Due to which even after a week, flood like situation is still there in the villages.

    There is waterlogging in many areas of the villages, the Gaud Colony of Sabalgarh, the Petrol Pump area is still filled with water, but the relief that should have been provided to the areas after the flood has not been provided anywhere. It has become difficult to move out due to mud and swamp. At the same time, the risk of spreading diseases has also increased due to waterlogging. Despite this, no special relief work has been done anywhere. Due to which people are being forced to live in hellish conditions.

    Dirty water is coming from hand pumps and bores

    When the ponds burst in the villages, water filled the villages and this created many problems. Empty plots and fields are filled with water around the houses. Secondly, the hand pumps and bores which supply water are also getting dirty water. Which is being used by the villagers and people of the area connected to Sabalgarh. Due to which there is a danger of spreading diseases.

    In such a situation, Rajesh Gaur, a resident of Kutghan, said that the administration has been asked several times to do relief work here, but the water has still not been drained from the area. This is becoming a danger for the people. Dirty water is coming in the sacks. Pran Singh of Rampura says that the crops of the fields around the drain have been destroyed. Jagmohan Meena of Tonga says that the crops have been damaged due to the water, there is a foul smell. The situation is also bad in the villages.

    The pond’s embankment is still not connected, water flows continuously

    The dam of Tonga pond was broken up to about 18 feet, which has not been repaired yet, the situation remains the same, while water is continuously flowing from this broken dam from the pond. Due to rain in the hilly areas, the water that came into the pond is flowing through this dam, but its direction has been diverted towards the canal, while it has been diverted towards the connecting drain connected to it, but this drain was about 100 feet wide, but the villagers have encroached and left it only 15 feet wide.

    Due to which there is a problem in draining out the rainwater. On the other hand, the survey of the damage to the crops has not been done yet. However, the administration is not considering the damage to the crops because the fields around the pond and drain were filled with water, which has been drained out.

    The estimate for connecting the drain has been prepared and sent, as soon as it is approved, the water resources department will connect it. The team of doctors has been talked to regarding the situation of waterlogging in the area and spread of any kind of disease, a camp will be set up for the health checkup of the villagers. – Virendra Katare, SDM Sabalgarh.

  • A young man is harassing a female police officer for 5 months, he threatens to make her photo viral on social media

    Lucknow. A case of continuous blackmailing and threats to a female police officer has come to light in the capital Lucknow. In this case, Anshuman Pandey, a resident of Handia, Prayagraj, is accused of harassing the female police officer for the last five months.

    The woman police officer alleges that Anshuman Pandey is constantly calling her and pressuring her to befriend him and marry him. Apart from this, he is also threatening to edit the woman police officer’s photo and make it viral on social media. The woman police officer has blocked 87 mobile numbers of the accused youth, but despite this, he was constantly harassing her.

    Also read – UP Constable Admit Card: Download constable recruitment exam admit card like this, know where is your exam center

    Frustrated, the female police officer has lodged an FIR in Hazratganj Mahila Thana in Lucknow. The police has started an investigation considering the seriousness of the matter. The police says that the accused will be arrested soon and the investigation in this case is ongoing.

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  • The High Court dismissed the petition of all the accused in the liquor scam, they had challenged the FIR of ED and ACB-EOW…

    Bilaspur. While giving its verdict today on the petitions filed by the accused arrested in the famous liquor scam, the High Court has dismissed all the 13 petitions. The High Court has also cancelled the earlier order of interim relief. The High Court has accepted that the FIR has been lodged by ED and ACB-EOW on the basis of evidence. Also read: Raipur News: A game of offerings or something else? There are 31 thousand 838 such cases in Raipur tehsil in which there is no need for transfer of name

    FIR has been filed by ACB and EOW against former IAS Anil Tuteja, his son Yash Tuteja, Anwar Dhebar, Vidhu Gupta, Nidesh Purohit, Niranjan Das and AP Tripathi in connection with the liquor scam. All the accused had filed separate petitions in the High Court to quash the FIR filed against them. The High Court had reserved the decision after hearing all the parties on July 10, on which the decision has come today.

    These petitions were heard by a bench of Chief Justice Ramesh Sinha and Justice Ravindra Agarwal in the High Court. Additional Advocate General Vivek Sharma argued on behalf of the state. Six petitions were filed in the High Court against the ED and seven against the EOW-ACB. In these petitions, the resumption of proceedings by the ED in the liquor scam case and the FIR filed by the EOW-ACB were challenged and a plea was made to dismiss them.

    During the hearing of one of these petitions, the High Court had granted interim relief to Anil Tuteja, which has now been revoked. According to Additional Advocate General Vivek Sharma, Anwar Dhebar had used his influence in the Congress government to get AP Tripathi appointed as the MD of CSMCL. After this, a scam of Rs 2161 crore was committed through a syndicate of officials, businessmen and people with political influence.

    The ED, which is investigating the liquor scam in Chhattisgarh, has lodged an FIR with the ACB. The FIR lodged talks about a scam of more than two thousand crore rupees. The ED has found in its investigation that the scam was carried out during the tenure of the then Bhupesh government through an illegal syndicate of IAS officer Anil Tuteja, MD of Excise Department AP Tripathi and businessman Anwar Dhebar. According to the ACB, from the year 2019 to 2022, illegal liquor was sold from government liquor shops by affixing duplicate holograms, due to which the government has suffered a loss of revenue worth crores.

    While investigating the liquor scam, ED first arrested Anwar Dhebar in the first week of May. According to ED, Anwar Dhebar earned illegal money of Rs 2000 crore from liquor business from 2019 to 2022. He spent it in Dubai through his partner Vikas Agarwal. ED said that Anwar distributed money to his associates on percentage basis and gave the remaining amount to his political masters. After this, Excise Department officer AP Tripathi, businessman Trilok Dhillon, Nitesh Purohit, Arvind Singh were also arrested in this case.

    During interrogation by Uttar Pradesh STF, Anwar Dhebar and AP Tripathi have told that the biggest beneficiaries of this scam were liquor manufacturing companies. Noida-based Vidhu’s company M/s Prism Holography Security Films Pvt Ltd had received the tender for making holograms. Duplicate holograms were made from it and sent to distilleries. From there, these holograms were pasted on illegal liquor.

    ED and EOW have also accused the operators of the involved distilleries and their related people. However, no one has been arrested so far. After today’s decision of the High Court, it is expected that action can soon be taken against the liquor manufacturing companies in the fake hologram case.

  • Video: Thousands Protest In Thane Against Sexual Abuse Of 2 Minors, Block Trains At Badlapur Station |

    A massive protest erupted in Badlapur, Thane district, on Tuesday against the sexual abuse of two minors at a local school. The incident sparked widespread outrage, with locals calling for a shutdown of the town. Thousands of protesters gathered at the Badlapur railway station, blocking trains and staging a sit-in on the tracks.

    The protesters, including parents and residents, demanded stern action against the accused and stricter safety measures for students. They staged a demonstration outside the school, where the incident occurred, and submitted a list of demands, including harsh punishment for the accused.

    The school’s principal and three others have been suspended in connection with the incident. The protesters vowed to continue their agitation until justice is served. 

     

    #WATCH | Maharashtra | Protest underway at Badlapur Station against the alleged sexual assault incident with a girl child at a school in Badlapur pic.twitter.com/eMazZDliiU


    — ANI (@ANI) August 20, 2024

    Reacting to the sexual assault with two minors at a school in Badlapur, Maharashtra Education Minister Deepak Kesarkar said, “This is an extremely distressing incident. We have mobilized the full force of the state education department. Instructions have been issued to four IAS officers from Pune and Mumbai. An investigation into the non-functioning CCTV at the school is underway…Following the complaint, there was a lack of action, leading to the transfer of the Senior PI. We are committed to fast-tracking this case and ensuring that the accused receives the maximum penalty…The entire department is on-site, and student safety is our utmost concern.”

  • 1500 students will participate in CUET PG Counseling, admission process will start from today

    Students will have to deposit the fees within three days

    Highlights

    Merit and rank of students will be made on the basis of score card. PG counseling will also be started along with UG counseling. Interest has been shown in 28 courses run by 14 departments of the university.

    Naiduniya representative, Indore. The process of filling vacant seats of postgraduate courses run by various study centres of Devi Ahilya Vishwavidyalaya will start again. CUET PG counselling has been scheduled from Wednesday, in which there are 538 seats in 17 courses.

    Students will get admission in 16 MBAs and MA Journalism run by IMA, IIPS, Commerce, Economics, Computer Science, EMRC, Social Sciences, Data Science.

    More than 200 new students have registered for the second phase of counselling. There are 1250 students who had also participated in the first phase of the admission process. CUET coordinator Dr. Kanhaiya Ahuja says that counselling will be held on 21 and 22 August.

    If required, the admission process will be done on an additional day. They say that seats for ST-SC, OBC, General and EWS are vacant in these courses.

    Many students cancelled their admission

    MBA HR, Financial Administration, Marketing Management, E-Commerce, APR, Entrepreneur are the courses in which students have shown interest in taking admission. Students participating in the second phase of counseling have to bring original documents.

    These include 10th-12th, graduation, caste-income certificate, native, migration, TC and other documents. According to the officials, after admission is confirmed, the students will have to deposit the fees within three days.

  • CG Ola Viral Video: A young man got upset due to repeated breakdown of Ola scooter, took out a funeral procession on a cart, sang a song, said- Ola punished me, what crime did I commit…

    Manendra Patel, Durg. A video of the funeral procession of Ola scooter is becoming quite viral on social media (CG Ola Viral Video). This video is from Bhilai in Durg district of Chhattisgarh. The youth was so upset with his electric scooter that he took out its funeral procession by placing the scooter on a cart. Not only this, the youth also installed a loudspeaker for it and kept appealing to people with a mic behind him to never buy an Ola scooter even by mistake. Passersby captured this entire incident on their mobile phones which is becoming quite viral on social media.

    The funeral procession of the scooter was taken out by placing it on a cart (Ola Viral Video)

    In fact, Shanti Nagar resident Sagar Singh told Lalluram.com that he had bought an electric Ola scooty worth Rs 1.5 lakh a year ago. He had also got it financed. Including bank interest, he bought this scooty for Rs 1.85 lakh. But he did not realize that this scooty would become a problem for him. Because due to frequent servicing of the scooty, Sagar has been going through tension for the last one year, he says that everything was fine for a few months after buying the scooty, but after three-four months the scooty started breaking down. But when the water went above the head, then he got upset with the poor servicing and took out its funeral procession. As soon as this video went viral, Sagar got a call from the company and the scooty was repaired but after a few days the scooty broke down again.

    Sagar says that whenever he took his scooty to the service center, it took 15-20 days to fix the problem. Every time he was sent back saying that the parts were not available. A few days ago, all four indicators of his scooty suddenly started burning and the scooty suddenly stopped near Ramnagar. Even after a lot of effort, when the scooty did not start, he had to push it home.

    To teach the company a lesson, Sagar put his scooter on a cart from his house and put a garland of flowers and gulal on it and took out a funeral procession to the showroom. Sagar kept a speaker with the scooter and himself kept appealing to the people on the mic that “eat bananas in the morning and evening, but don’t take Ola even by mistake”. Apart from this, the young man standing outside the showroom also taunted the company’s poor servicing in a film song and while singing said that “Ola has punished me, what crime have I committed”. To see this kind of sarcasm of his, passersby stopped and started making videos on their mobile phones.

    Watch the viral video-

  • Kolkata Doctor’s Rape-Murder: SC’s Suo Motu Hearing Today; SIT Targets Hospital Finances | Top Points |

    The Supreme Court bench, led by Chief Justice DY Chandrachud, is set to hear the suo motu case related to the Kolkata rape-murder on Tuesday. This will be the first hearing since nationwide protests by doctors demanding justice for the 31-year-old trainee doctor who was brutally raped and killed at RG Kar Medical College and Hospital.


    The Supreme Court will hear the matter today (August 20) with a bench of CJI DY Chandrachud, Justice JB Pardiwala and Justice Manoj Mishra scheduled to hear the case. 



    The Delhi Medical Association on Monday petitioned the Supreme Court to be included as a party in the suo motu case. 


    A bench led by Chief Justice of India DY Chandrachud, which had taken cognisance of the incident, has prioritised the matter.


    Sandip Ghosh, the former principal of Kolkata’s RG Kar Medical College and Hospital, faces further scrutiny as the West Bengal government on Monday established a Special Investigation Team to probe financial irregularities at the hospital from January 2021 to the present. The action follows as Central Bureau of Investigation (CBI) officers interrogated Sandip Ghosh for the fourth consecutive day on Monday. 



    The Delhi-based doctors’ association, representing over 15,000 members, has requested the formation of a committee led by a former Supreme Court judge to develop a framework for protecting doctors and medical personnel from violence in hospitals and public healthcare centers. 


    Meanwhile, the CBI has been granted permission to administer a polygraph test on the arrested suspect in the Kolkata rape-murder case, according to CBI sources. On August 18, the CBI team investigating the incident conducted a 3D laser mapping and examination of the emergency ward at RG Kar Medical College and Hospital in Kolkata. 


    On August 13, the Calcutta High Court ordered the transfer of the investigation from Kolkata Police to the Central Bureau of Investigation (CBI), which commenced its probe on August 14. The HC’s order came while hearing petitions, including one filed by the victim’s parents, who requested a court-monitored investigation.  


    Regarding the vandalism that occurred on the night of August 14 inside the RGK Hospital premises, the High Court noted that the mob violence at the hospital represented an absolute failure of the state machinery. On August 16, the court directed the police and hospital authorities to submit affidavits detailing the situation. 


    The alleged rape and murder of a junior doctor in a seminar hall at a state-run hospital has ignited nationwide protests. The medic’s body, bearing severe injury marks, was discovered inside the seminar hall of the hospital’s chest department on August 9. The following day, Kolkata Police arrested a civic volunteer in connection with the case. 

    Based on input from agencies.